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CP
2005
Springer
13 years 10 months ago
Methods to Learn Abstract Scheduling Models
Tom Carchrae, J. Christopher Beck, Eugene C. Freud...
CP
2005
Springer
13 years 10 months ago
Dimensioning an Inbound Call Center Using Constraint Programming
One of the critical problems in the call center industries is the staffing problem since they must face variable demands and because staff costs represent a major part of the cost...
Cyril Canon, Jean-Charles Billaut, Jean-Louis Bouq...
CP
2005
Springer
13 years 10 months ago
Extending Systematic Local Search for Job Shop Scheduling Problems
Bistra N. Dilkina, Lei Duan, William S. Havens
CP
2005
Springer
13 years 10 months ago
Solving the Car-Sequencing Problem as a Non-binary CSP
A search algorithm based on non-binary forward checking (nFC) is used to solve the car-sequencing problem. The choice of value ordering heuristics having a dramatic effect on solu...
Mihaela Butaru, Zineb Habbas
CP
2005
Springer
13 years 10 months ago
A Constraint Based Agent for TAC-SCM
David A. Burke, Kenneth N. Brown
CP
2005
Springer
13 years 10 months ago
Multi-point Constructive Search
Abstract. Multi-Point Constructive Search maintains a small set of “elite solutions” that are used to heuristically guide constructive search through periodically restarting se...
J. Christopher Beck
CP
2005
Springer
13 years 10 months ago
Mind the Gaps: A New Splitting Strategy for Consistency Techniques
Classical methods for solving numerical CSPs are based on a branch and prune algorithm, a dichotomic enumeration process interleaved with a consistency filtering algorithm. In man...
Heikel Batnini, Claude Michel, Michel Rueher
CP
2005
Springer
13 years 10 months ago
Solving Over-Constrained Problems with SAT
Abstract. We present a new generic problem solving approach for overconstrained problems based on Max-SAT. We first define a clausal form formalism that deals with blocks of clau...
Josep Argelich, Felip Manyà
CP
2005
Springer
13 years 10 months ago
Acquiring Parameters of Implied Global Constraints
This paper presents a technique for learning parameterized implied constraints. They can be added to a model to improve the solving process. Experiments on implied Gcc constraints ...
Christian Bessière, Remi Coletta, Thierry P...
CP
2005
Springer
13 years 10 months ago
Sub-optimality Approximations
Abstract. The sub-optimality approximation problem considers an optimization problem O, its optimal solution σ∗ , and a variable x with domain {d1, . . . , dm} and returns appro...
Russell Bent, Irit Katriel, Pascal Van Hentenryck